Ailawadhi, Sikander

Background: MM clinical trials often have stringent eligibility criteria that limit the enrollment of patients (pts) reflective of the general patient population (Shah, Clin Lymphoma Myeloma Leuk 2017). The Connect® MM Registry, a prospective observational study of pts with newly diagnosed MM (NDMM) in the US, provided the opportunity to examine differences between pts with MM who were identified as RCT-eligible vs -ineligible, to observe the generalizability of clinical trial results to real-world clinical settings. Differences in baseline characteristics, treatment, clinical outcomes, and HRQoL were examined in RCT-eligible and -ineligible pts from this registry, which represents an unselected, broad real-world population. Methods: Pts with NDMM were enrolled at 250 community, academic, and government sites. Eligible pts were ≥18 y of age with symptomatic MM diagnosed ≤2 months preenrollment per the International Myeloma Working Group (IMWG) criteria. For this analysis, pts were considered ineligible for RCT per the following key exclusion criteria previously described: absolute neutrophil count ≤1.5 × 109/L, platelet count ≤75 × 109/L, creatinine >2.5 mg/dL, AST/ALT >3 times the ULN, peripheral neuropathy grade >2; ECOG PS 3/4; history of myelodysplastic syndromes/other hematologic malignancies, or solid tumors (Shah 2017). Sites administered pt HRQoL questionnaires and provided clinical data at baseline and quarterly during follow-up until death or study discontinuation. Differences in HRQoL at baseline, changes from baseline to 1 and 2 years, and survival outcomes, adjusted for covariates via propensity score, were compared between RCT-eligible/-ineligible pts. Results: Of the 3011 pts enrolled, 2873 pts met the CRAB (hyperCalcemia, Renal failure, Anemia, and Bone disease) criteria per IMWG at enrollment. Of these, 1622 (56.5%) were identified as RCT-eligible and 1251 (43.5%) as RCT-ineligible (data cut-off February 7, 2019). Both groups were similar in median age, sex, race, and ethnicity distribution, although the RCT-ineligible group had more pts aged ≥75 y (26.3% vs 23.2%) and more pts with ECOG PS 3/4 (6.2% vs none). Overall, 34.5% of RCT-ineligible pts received a transplant vs 42.8% of RCT-eligible pts. More RCT-ineligible pts had ISS stage III disease (39.4% vs 19.8%), elevated calcium (≥11.5 mg/dL; 12.7% vs 6.8%), elevated creatinine (>2.0 mg/dL; 40.3% vs 6.5%), and low hemoglobin (<10 g/dL or >2 g/dL <LLN; 60.8% vs 40.3%). Use of triplet treatment (54.2% vs 56.2%) and alkylator (24.9% vs 20.1%) was similar between the RCT-ineligible/-eligible groups. Lenalidomide + bortezomib + dexamethasone (RVd) was the most common initial therapy, and R was the most common maintenance therapy in both groups, but fewer RCT-ineligible pts received RVd as initial therapy (23.9% vs 31.0%) and R as first maintenance regimen (18.1% vs 22.7%). Absolute baseline HRQoL scores were significantly higher, indicating better HRQoL, in RCT-eligible (115.9) vs -ineligible (111.5) pts on the Functional Assessment of Cancer Therapy-Multiple Myeloma (FACT-MM) Total score (P=0.007), FACT-MM Trial Outcome Index (74.3 vs 70.3, P=0.002), and FACT-MM Subscale (37.3 vs 35.5, P=0.003). Scores were similar for EuroQol-5D Overall Index (0.73 vs 0.72, P=0.5) and Brief Pain Inventory (3.42 vs 3.43, P=0.9). Both RCT-eligible and -ineligible pts showed significant improvement in HRQoL from baseline at years 1 and 2, although the magnitude of improvement was similar between both groups (Fig. 1a and b). RCT-ineligible pts showed significantly shorter median PFS and OS vs RCT-eligible pts (Fig. 2 & 3, respectively). Conclusions: The CONNECT MM registry provided the opportunity to examine key differences between RCT-eligible and -ineligible pts. By applying common RCT eligibility criteria, a substantial proportion of MM pts (43.5%) in this real-world population may have been ineligible to participate in a RCT. RCT-ineligible pts had advanced disease, poor performance status, and poor laboratory parameters at baseline vs RCT-eligible pts, which could affect PFS and OS. These findings enhance our understanding of HRQoL among MM pts, which at present, is largely based on RCT participants. A similar magnitude of HRQoL improvement in both groups at 1 and 2 years suggests the need to evaluate RCT eligibility criteria in MM to help broaden enrollment and maximize external validity. Disclosures Wagner: Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; American Cancer Society: Other: Section editor, Cancer journal. Toomey:Celgene: Consultancy. Ailawadhi:Takeda: Consultancy; Amgen: Consultancy, Research Funding; Celgene: Consultancy; Cellectar: Research Funding; Janssen: Consultancy, Research Funding; Pharmacyclics: Research Funding. Jagannath:Merck & Co.: Consultancy; Bristol-Myers Squibb: Consultancy; AbbVie: Consultancy; Celgene Corporation: Consultancy; Janssen Pharmaceuticals: Consultancy; Karyopharm Therapeutics: Consultancy. Gasparetto:Janssen: Consultancy, Honoraria, Other: Travel, accommodations, or other expenses paid or reimbursed ; BMS: Consultancy, Honoraria, Other: Travel, accommodations, or other expenses paid or reimbursed ; Celgene: Consultancy, Honoraria, Other: Travel, accommodations, or other expenses paid or reimbursed . Durie:Amgen, Celgene, Johnson & Johnson, and Takeda: Consultancy. Narang:Celgene: Speakers Bureau. Rifkin:Amgen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees. Terebelo:Celgene: Honoraria; Jannsen: Speakers Bureau; Newland Medical Asociates: Employment. Omel:Celgene, Takeda, Janssen: Other: Patient Advisory Committees. Hardin:Celgene: Membership on an entity's Board of Directors or advisory committees. Lee:Janssen: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Daiichi Sankyo: Research Funding; Celgene: Consultancy, Research Funding; Sanofi: Consultancy; GlaxoSmithKline plc: Research Funding; Amgen: Consultancy, Research Funding. Srinivasan:Celgene: Employment, Equity Ownership. Liu:TechData: Consultancy. Dhalla:Celgene: Employment. Catamero:Celgene: Employment, Equity Ownership. Abonour:BMS: Consultancy; Takeda: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Celgene: Consultancy, Research Funding.

BACKGROUND: Proteasome inhibitors (PIs) combined with an Rd backbone constitute commonly used regimens in RRMM in the US. Lack of data from head-to-head clinical trials comparing the efficacy of these PI-Rd triplets and the extent to which efficacy translates to benefit in routine care highlight the need for real-world evidence. We conducted a comparative effectiveness analysis of time to next therapy (TTNT) of these PI-Rd triplet combinations in a real-world representative cohort of RRMM patients. METHODS: In this retrospective cohort study, RRMM patients who initiated an index regimen with IRd, KRd, or VRd in ≥2nd line of therapy (LOT 2+) were followed between 1/2014-9/2018 in Optum's deidentified national electronic health records database. This database captures information on all patients treated by >140,000 providers across 50 states in the US. It is representative of the US general population. Baseline data included: a modified frailty score utilizing age and Charlson Comorbidity Index1, ECOG performance status, CRAB symptoms, ISS stage, cytogenetic risk (high: del[17p], t[4;14], or t[14;16]), history of: cardiovascular disease, peripheral neuropathy, stem-cell transplant, and uncontrolled hypertension, prior PI and/or IMID exposure and refractory status, time from diagnosis to start of index LOT, time from start of frontline therapy to start of LOT 2, and treatment-free interval prior to index LOT. Duration of therapy (DOT) and TTNT were estimated using Kaplan-Meier methods and compared using stratified (by LOT) ± baseline-adjusted Cox proportional hazard models with a repeated measures analysis of pt-LOTs with robust sandwich estimators to account for inclusion of patients in multiple LOTs. The main analysis was repeated in subgroups a priori defined by frailty score, cytogenetic risk, prior PI and/or IMID exposure and LOT. Observations were censored at time of loss to follow up/end of study period (9/30/2018). RESULTS: Overall, 650 patients with 733 pt-LOTs (IRd, n=168; KRd, n=208; VRd, n=357) were included; 20% of the RRMM patients in this cohort were treated at academic centers. In the I-/K-/V-Rd groups, respectively, median age was 71/65/71 years and 42/22/38% patients were ≥75 years old; 39/55/46% and 28/14/29% patients had a modified frailty score of intermediate and frail, respectively; 71/88/80% had a symptomatic relapse with at least 1 CRAB symptom; 20/28/13% patients had high cytogenetic risk; 69/72/90% patients were treated in 2-3 LOT, and 63/70/32% patients had prior exposure to a PI+IMID (P<0.05 for all). The median follow-up was 14.4 months. Unadjusted median DOT of index LOT was 12.3/7.2/10.0 months, with a lower risk of discontinuation of the oral PI component for I in comparison to both K and V (HR[I vs K] of 0.66 and HR[I vs V] of 0.68) and R component in the IRd vs KRd and VRd groups (HR[I vs K] of 0.64 and HR[I vs V] of 0.75) (P<0.05 for all). Unadjusted median TTNT was 12.7/8.6/14.2 months for I-/K-/V-Rd in LOT ≥2; with HR for TTNT of 0.76 (IRd vs KRd; P<0.05); 1.01 (IRd vs VRd; P=0.96); 1.33 (KRd vs VRd; P<0.05). The adjusted HRs for TTNT I-/K-/V-Rd in LOT ≥2 were 0.82 (IRd vs KRd); 0.93 (IRd vs VRd); 1.13 (KRd vs VRd; P>0.05 for all), and were comparable between all 3 groups. A significant TTNT benefit for IRd vs KRd was observed among patients with high cytogenetic risk (HR: 0.47) and with intermediate frailtymodified score (HR: 0.60; P<0.05 for all). CONCLUSIONS: In this real-world representative RRMM cohort, in unadjusted analyses, the IRd group had a longer DOT of the PI and R components and a longer TTNT in comparison with KRd. After adjusting for baseline confounders to separate the treatment effect, the I/K/V-Rd triplet combinations were comparable in TTNT, but IRd was significantly better than KRd in patients with high-risk cytogenetics and with an intermediate frailty score. Residual confounding is always a potential limitation of any non-randomized study. Conversely, the results of randomized, clinical trials are limited in generalizability as 40-60% of patients are excluded due to inability to meet eligibility criteria. This is especially pertinent in an elderly RRMM population as demonstrated in the real-world effectiveness results in this study. Ref: 1. Palumbo, et al. Blood. 2015;125:2068-2074 Figure Disclosures Chari: Sanofi: Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharmacyclics: Research Funding; Oncoceutics: Research Funding; Novartis Pharmaceuticals: Research Funding; GlaxoSmithKline: Research Funding; Array Biopharma: Research Funding; Karyopharm: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Millennium/Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Consultancy; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Romanus:Takeda: Employment. Raju:Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Other: Xcenda received funding from Takeda to complete this analyses., Research Funding; Xcenda, LLC: Employment. Cain:Takeda: Employment. Blazer:Xcenda: Employment; Takeda: Other: Xcenda received funding from Takeda for completion of this analysis, Research Funding. Farrelly:Xcenda: Employment; Takeda: Other: Xcenda received funding from Takeda for completion of this analysis, Research Funding. Stull:Takeda: Employment. Ailawadhi:Pharmacyclics: Research Funding; Cellectar: Research Funding; Celgene: Consultancy; Takeda: Consultancy; Janssen: Consultancy, Research Funding; Amgen: Consultancy, Research Funding.

Background CD38 is highly expressed on MM cells, hence anti-CD38 agents are of interest as a therapeutic approach in MM. The anti-CD38 monoclonal antibody, dara, as mono- or combination therapy, has substantially improved efficacy outcomes in RRMM, including in heavily pretreated pts. However, many pts relapse and new therapeutic approaches are needed, particularly for pts R/R to dara. TAK-169 is a dimeric fusion protein of an anti-CD38 antibody single chain variable fragment fused to a modified Shiga-like toxin-A subunit. Its unique mechanism of action involves specific binding to CD38+ cells, forced internalization into the target cells, retrograde transport to the cytosol, and irreversible, enzymatic inactivation of target cell ribosomes to cause apoptosis. TAK-169 showed potent, rapid in vitro activity on CD38-expressing cell lines and in vivo efficacy in MM mouse xenograft tumor models with a wide CD38 expression range when administered intravenously (IV) once weekly (QW) or once every 2 weeks (Q2W). Activity was also shown in ex vivo assays from 6 pt bone marrow aspirate (BMA) samples, including from a dara-resistant pt (EC50 5 nM). TAK-169 retained in vitro activity in the presence of dara with modest shifts in EC50 noted at higher dara concentrations. In contrast to dara, TAK-169 has direct tumor cell kill activity that is independent of a pt's immune function status and may therefore be effective in a dara-resistant setting. Accordingly, this phase 1 study will assess safety, tolerability, preliminary efficacy, pharmacokinetics (PK) and pharmacodynamics (PD) of TAK-169 in RRMM. Methods This first-in-human, multicenter, open-label study (NCT04017130; Figure) comprises dose escalation (Part 1) and expansion (Part 2). Eligible pts must be aged ≥18 years with a confirmed diagnosis of MM. Pts enrolled in Part 1 should not be candidates for available therapies known to confer clinical benefit in RRMM. In part 2, pts enrolled should have received ≥3 prior lines of therapy, or ≥2 if one included a PI and IMiD combined. Prior anti-CD38 therapy (including dara) is permitted, except in the Part 2 anti-CD38 therapy-naive expansion cohort. In Part 1, the primary objective is to assess safety/tolerability of TAK-169 in pts with RRMM, and determine maximum tolerated dose/recommended Phase 2 dose (MTD/RP2D). Secondary objectives include efficacy, PK, PD and immunogenicity of TAK-169. Approximately 60 pts are planned to be enrolled to receive IV TAK-169 QW on Days 1/8/15/22 in 28-day cycles. Dosing will start at 50 μg/kg, with subsequent dose levels of 100, 200, 335, 500, 665 μg/kg. A 2nd Q2W dose escalation cohort may be initiated, starting at the QW MTD. The Bayesian Logistic Regression Model with overdose control will be used for dose escalation cohort 2 and for all subsequent dose escalation cohorts, and other non-DLT-safety, clinical, PK, and PD data will be considered. In Part 2, the primary objective is preliminary evaluation of TAK-169 clinical activity in RRMM. Secondary objectives include further evaluating safety, efficacy, PK, PD, and immunogenicity of TAK-169. Part 2 will enroll approximately 54 pts into dara RR (QW and Q2W dosing) and anti-CD38 therapy-naïve (QW dosing) cohorts. TAK-169 will be administered at the MTD/RP2D (QW and Q2W) determined in Part 1. Response will be monitored longitudinally using orthogonal approaches. M-protein levels in serum and urine will be measured each cycle to determine objective responses by International Myeloma Working Group (IMWG) criteria. Minimal residual disease status in pts suspected to be at complete response will be assessed. Circulating free DNA (cfDNA) will be collected from longitudinal plasma samples for disease monitoring. Baseline cytogenetic data will be collected, and TAK-169 efficacy will be assessed in pts with high-risk cytogenetics. Serial blood samples will be used to characterize PK and PD of TAK-169 after IV administration, and to assess the presence of antidrug antibodies. BMA samples collected at screening will be used to evaluate baseline expression of candidate biomarkers. Toxicity will be evaluated using National Cancer Institute Common Terminology Criteria for Adverse Events (NCI CTCAE) version 5. Efficacy analyses will use descriptive statistics with a 95% confidence interval and the Kaplan-Meier method. PK parameters and immunogenicity status will be summarized using descriptive statistics. Recruitment is ongoing. Figure Disclosures Kumar: Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Takeda: Research Funding. Cornell:Takeda: Consultancy; KaryoPharm: Consultancy. Landgren:Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Other: IDMC; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Theradex: Other: IDMC; Adaptive: Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Ailawadhi:Cellectar: Research Funding; Pharmacyclics: Research Funding; Janssen: Consultancy, Research Funding; Celgene: Consultancy; Amgen: Consultancy, Research Funding; Takeda: Consultancy. Higgins:Molecular Templates, Inc.: Employment, Equity Ownership. Willert:Molecular Templates: Employment. Waltzman:Molecular Templates, Inc.: Employment, Equity Ownership. Lin:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment, Equity Ownership. Zhang:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Lublinsky:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Dash:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Hanley:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Manoharan:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Leichter:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Ottinger:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Labotka:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. Newcomb:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment, Equity Ownership. Vorog:Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Employment. OffLabel Disclosure: TAK-169 is a dimeric fusion protein of an anti-CD38 antibody single chain variable fragment fused to a modified Shiga-like toxin-A subunit

Background: Combinations of alkylating agents with proteasome inhibitors have demonstrated efficacy in newly diagnosed and relapsed multiple myeloma (MM), with melphalan or cyclophosphamide combinations being some of the commonly used regimens for initial treatment of MM. Ixazomib (Ixa) is an oral proteasome inhibitor that is approved for use in combination with lenalidomide for patients with relapsed MM. We examined if Ixa can be effectively combined with cyclophosphamide (Ctx) in order to develop a less expensive, all oral regimen for patients with relapsed MM. Patients and Methods: Patients with relapsed MM, who were proteasome inhibitor naïve OR have received less than 6 cycles of therapy with bortezomib and had a better than PR with no progression at the time of discontinuation, were enrolled. The primary objective was to determine overall response rate (ORR). Treatment consisted of Ixa 4mg PO days 1, 8, 15; Ctx 300 mg/m2 PO days 1, 8, 15, 22 and dexamethasone (Dex) 40 mg PO weekly in a 28-day cycle. Overall, 37 patients were accrued; data on 33 eligible patients were available for analysis as of July 18, 2019. Results: The median age was 71 (48-89), 61% were male and the median duration from diagnosis was 46 months (mos). Median number of prior lines of therapy was 4 (range 1-5), 76%, 42% and 67% respectively had a prior IMiD, proteasome inhibitor or stem cell transplant, respectively. At data cutoff, 22 (67%) had progressed, 4 (12%) had died and the median follow up of those alive was 21.3 mos. Fourteen patients are still receiving treatment, with median of 8.5 cycles. Most common reason for treatment discontinuation was disease progression (10 pts; 53%). The ORR was 60% including 6% CR and 24% VGPR. The median event free survival was 11.3 mos (95%CI: 9.0 - 26.8). Overall, 401 cycles have been administered across the study, with dose modifications/ hold required for Ixa, Ctx, and Dex in 9 (27%), 14 (42%), and 22 (67%) patients respectively, the most common reason being hematologic toxicity. A grade 3 or higher adverse event at least possibly attributed to the study drugs was seen in 77% of patients, hematologic in 67% and non-hematologic in 30%. (Table 1) The most commonly observed hematologic toxicities included thrombocytopenia, neutropenia, lymphopenia and anemia; for non-hematologic was nausea, diarrhea, peripheral neuropathy toxicity and fatigue. Conclusions: The combination of Ixa, Ctx and Dex (ICd) offers a convenient, all oral regimen for treatment of relapsed disease not refractory to proteasome inhibitors. The regimen has good efficacy in this group f heavily pretreated patients, with an acceptable toxicity profile. Disclosures Lacy: Celgene: Research Funding. Gertz:Ionis: Honoraria; Spectrum: Honoraria, Research Funding; Janssen: Honoraria; Celgene: Honoraria; Prothena: Honoraria; Alnylam: Honoraria. Ailawadhi:Takeda: Consultancy; Janssen: Consultancy, Research Funding; Cellectar: Research Funding; Pharmacyclics: Research Funding; Amgen: Consultancy, Research Funding; Celgene: Consultancy. Bergsagel:Janssen Pharmaceuticals: Consultancy; Celgene: Consultancy; Ionis Pharmaceuticals: Consultancy. Fonseca:AbbVie, Amgen, Bayer, Celgene, Kite, Janssen, Juno, Merck, Pharmacylics, Sanofi, Takeda: Other: Consultant/Advisor; Prognosticatin of MM based on Genetic Categorization by FISH: Patents & Royalties; Adaptive Biotechnologies: Other: Scientific Advisory Board. Dingli:alexion: Consultancy; Janssen: Consultancy; Millenium: Consultancy; Rigel: Consultancy; Karyopharm: Research Funding. Kapoor:Amgen: Research Funding; Takeda: Honoraria, Research Funding; Glaxo Smith Kline: Research Funding; Sanofi: Consultancy, Research Funding; Celgene: Honoraria; Cellectar: Consultancy; Janssen: Research Funding. Chanan-Khan:AbbVie: Research Funding; Pharmacyclics: Research Funding; Xencor: Research Funding; Merck: Research Funding; Jansen: Research Funding; Mayo Clinic: Employment; Ascentage: Research Funding; Millennium: Research Funding. Larsen:Janssen Oncology: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees. Russell:Imanis: Equity Ownership. Stewart:Roche: Consultancy; Seattle Genetics: Consultancy; Takeda: Consultancy; Ionis: Consultancy; Janssen: Consultancy, Research Funding; Oncopeptides: Consultancy; Ono: Consultancy; Amgen: Consultancy, Research Funding; Bristol Myers-Squibb: Consultancy; Celgene: Consultancy, Research Funding. Kumar:Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Takeda: Research Funding.

Introduction Waldenstrom macroglobulinemia (WM) is a rare, incurable, indolent non-Hodgkin lymphoma that is preceded by an IgM monoclonal gammopathy of undetermined significance (IgM MGUS). In recent years, better understanding of the pathobiology of WM and IgM MGUS has strengthened the hypothesis that they may represent different stages of the same disease. Studying the relationship between these two conditions is the essential first step to understanding the mechanisms driving the malignant transformation from IgM MGUS to WM. Recently long non-coding RNAs (lncRNAs) have garnered significant recognition for their roles in the regulation of gene expression and cellular function. lncRNA can regulate gene expression of neighboring protein-coding genes through multiple mechanisms such as by recruiting chromatin modifiers and increasing accessibility of genes to transcription proteins, or by directly binding to enhancers or promoters. Here we present the first analysis of the lncRNA expression profile in patients with WM compared to IgM MGUS. Methods Twenty-one patients with untreated WM (n=14) and IgM MGUS (n=7) seen at Mayo Clinic were included in this analysis. Malignant cells were isolated from bone marrow samples using CD19 and CD38 positive selection. Total RNA was extracted and sequencing was performed using the Illumina HiSeq4000 NGS platform. Differentially expressed lncRNAs in WM compared to IgM MGUS were defined as log2 fold change (FC) > 1.0 (upregulated) or < -1.0 (downregulated) and a false discovery rate (FDR) < 0.05. The nearest gene to each lncRNA was also identified and their gene expression was detected. Using the Ingenuity Pathway Analysis software and taking into account the transcriptional expression and known function of these genes, a correlation between cell function and disease analysis was performed. Results A total of 119 lncRNAs were differently expressed between WM and IgM MGUS (17 transcripts were upregulated in WM, while 102 were downregulated in WM). Sixteen unique genes were identified as the nearest gene to 17 upregulated lncRNAs, while 18 genes were identified as the nearest genes to the top 18 downregulated lncRNAs in WM compared to IgM MGUS. Several of the upregulated lncRNA in WM were in proximity to known oncogenes. The well-known oncogenic lncRNA PVT1 was found to be upregulated in WM compared to IgM MGUS (log2 FC 1.35, FRD 0.04). PVT1 is overexpressed in several malignancies and associated with inhibition of apoptosis and increased cell proliferation. PVT1 is in close proximity to MYC and co-expression of PVT1-MYC has been described in multiple cancers. PVT1 also potentiate MYC amplification by increasing MYC protein stability, therefore promoting malignant cell growth. The lncRNA TCB1D27, also upregulated in WM compared to IgM MGUS, is located in close proximity to the oncogene TNFRSF13B (TACI), which was found to be overexpressed in WM patients (log2 FC 1.61, FDR <0.001). TACI is a receptor for BLyS/BAFF, which modulates the development of normal B-cells and plays a role in various B-cell malignancies. In fact, BLyS/BAFF level is known to be increased in WM and to promote survival and proliferation of WM B cells. The upregulated lncRNA RP11-25K21.1 in WM is located in close proximity to the oncogene FCGR2B (CD32B), which was also upregulated in WM compared to IgM MGUS (log2 FC 1.59, FDR 0.001). Overexpression of CD32B was previously shown to be associated with inferior outcomes in DLBCL and FL patients, presumably secondary to an increased internalization and clearance of rituximab due to increased CD32B expression on malignant cells. Several other upregulated lncRNAs in WM compared to IgM MGUS are also in proximity of other oncogenes such as PCED1B, POLD3, CLLU1, and SMAD7. Finally, we considered the expression of the nearest genes and their reported cell function and association with diseases. Several genes that are known to have a role in the cell proliferation and/or neoplasm development were noted to be upregulated in WM (figure 1). Conclusion We present the first report of lncRNAs expression in WM and IgM MGUS in addition to a concurrent analysis of the gene expression of the nearest protein-coding genes. Several known oncogenes are in proximity of overexpressed lncRNAs in WM compared to IgM MGUS that could indicate potential implications in the pathobiology of these diseases and the mechanism driving the malignant transformation to WM. Disclosures Paludo: Celgene: Research Funding; Celgene: Research Funding; Verily Life Sciences: Research Funding; Verily Life Sciences: Research Funding. Dasari:The Binding Site: Patents & Royalties: US Patent Rights on Mass Spectroscopy Licensing agreement with The Binding Site, Research Funding. Kapoor:Celgene: Honoraria; Cellectar: Consultancy; Janssen: Research Funding; Sanofi: Consultancy, Research Funding; Amgen: Research Funding; Takeda: Honoraria, Research Funding; Glaxo Smith Kline: Research Funding. Ailawadhi:Amgen: Consultancy, Research Funding; Pharmacyclics: Research Funding; Takeda: Consultancy; Janssen: Consultancy, Research Funding; Cellectar: Research Funding; Celgene: Consultancy. Gertz:Amyloidosis Foundation: Research Funding; i3Health: Other: Development of educational programs and materials; Medscape: Consultancy, Speakers Bureau; Ionis/Akcea: Consultancy; Celgene: Consultancy; Appellis: Consultancy; Amgen: Consultancy; Teva: Speakers Bureau; Alnylam: Consultancy; Prothena Biosciences Inc: Consultancy; Janssen: Consultancy; Spectrum: Consultancy, Research Funding; Annexon: Consultancy; Physicians Education Resource: Consultancy; Abbvie: Other: personal fees for Data Safety Monitoring board; Research to Practice: Consultancy; Johnson and Johnson: Speakers Bureau; DAVA oncology: Speakers Bureau; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Proclara: Membership on an entity's Board of Directors or advisory committees; Springer Publishing: Patents & Royalties; International Waldenstrom Foundation: Research Funding. Novak:Celgene Coorperation: Research Funding. Ansell:Affimed: Research Funding; Regeneron: Research Funding; Mayo Clinic Rochester: Employment; Seattle Genetics: Research Funding; Bristol-Myers Squibb: Research Funding; Bristol-Myers Squibb: Research Funding; Affimed: Research Funding; LAM Therapeutics: Research Funding; Bristol-Myers Squibb: Research Funding; Seattle Genetics: Research Funding; Affimed: Research Funding; Affimed: Research Funding; Mayo Clinic Rochester: Employment; Bristol-Myers Squibb: Research Funding; Mayo Clinic Rochester: Employment; Seattle Genetics: Research Funding; Trillium: Research Funding; Mayo Clinic Rochester: Employment; Bristol-Myers Squibb: Research Funding; Bristol-Myers Squibb: Research Funding; Trillium: Research Funding; Regeneron: Research Funding; Seattle Genetics: Research Funding; Mayo Clinic Rochester: Employment; Trillium: Research Funding; Trillium: Research Funding; Mayo Clinic Rochester: Employment; Regeneron: Research Funding; Regeneron: Research Funding; LAM Therapeutics: Research Funding; Mayo Clinic Rochester: Employment; Seattle Genetics: Research Funding; LAM Therapeutics: Research Funding; Seattle Genetics: Research Funding; Mayo Clinic Rochester: Employment; LAM Therapeutics: Research Funding; LAM Therapeutics: Research Funding; Trillium: Research Funding; Affimed: Research Funding; Trillium: Research Funding; Regeneron: Research Funding; Affimed: Research Funding; Affimed: Research Funding; Bristol-Myers Squibb: Research Funding; LAM Therapeutics: Research Funding; Trillium: Research Funding; LAM Therapeutics: Research Funding; Regeneron: Research Funding; LAM Therapeutics: Research Funding; Trillium: Research Funding; Mayo Clinic Rochester: Employment; Regeneron: Research Funding; Bristol-Myers Squibb: Research Funding; Affimed: Research Funding; Seattle Genetics: Research Funding; Affimed: Research Funding; Regeneron: Research Funding; Seattle Genetics: Research Funding; Bristol-Myers Squibb: Research Funding; LAM Therapeutics: Research Funding; Regeneron: Research Funding; Seattle Genetics: Research Funding; Trillium: Research Funding.

Background: Ibrutinib (ibr) is a small-molecular inhibitor of Bruton's Tyrosine Kinase (BTK), active in the treatment of various B-cell malignancies. B-cell receptor signaling blockade by BTK inhibition using ibr down regulates IRF4 (survival transcription factor) which is down regulated by lenalidomide (R) as well, suggesting possible synergistic effect on cell death. Higher doses of ibr (560-840 mg daily) have been used in combination regimens for MM with no significant dose-limiting toxicities (DLTs) but the combination of ibr and len has not been previously tested. We present safety and preliminary efficacy of the combination ibr, R, and dexamethasone (d) in RRMM patients. Methods: This is a phase I dose escalation study (NCT03015792) of 28-day cycles of ibr (420 mg daily, 560 mg daily, 700 mg daily or 840 mg daily) days 1-28 in combination with R 25 mg PO days 1-21, and d 40 mg PO weekly utilizing a 3+3 dose-escalation design. Eligible RRMM patients had progression after ≥2 prior lines of treatment, measurable disease as per International Myeloma Working Group criteria, ECOG performance status ≤2, adequate bone marrow (BM) (absolute neutrophil count ≥1.0 x 109, platelets ≥50,000 cells/mm3 for patients with BM plasmacytosis <50% or ≥30,000 cells/mm3 for patients with BM plasmacytosis ≥50%), kidney (creatinine clearance ≥30 mL/min), and liver function [total bilirubin ≤1.5 x upper limit of normal (ULN), aspartate aminotransferase and alanine aminotransferase ≤3 x ULN], and PT/INR ≤1.5 X ULN. Treatment was to be continued till progressive disease (PD) or any unacceptable toxicity. The primary objective was to determine the maximum tolerated dose (MTD) of ibr+Rd in RRMM and secondary objective was to evaluate safety profile of this regimen. Results: As of July 26 2019, 18 patients had been enrolled in the trial. Three patients had to be replaced (2 at 700 mg cohort, 1 each due to withdrawal and ineligibility, and 1 at 840 mg due to withdrawal). Median age of all patients was 67 years (range 49-79) with 9 of the 15 evaluable patients being females. Evaluable patients as per ibr dose level included 3 at 420 mg, 3 at 560 mg, 3 at 700 mg, and 6 at 840 mg. Four out of 15 patients had high-risk cytogenetics. Median prior lines of treatment were 4 (range 2-13) and prior treatments included bortezomib in 87% (n=13), carfilzomib in 47% (n=7), ixazomib in 47% (n=7), lenalidomide in 87% (n=13), pomalidomide in 40% (n=6), thalidomide in 40% (n=6), daratumumab in 60% (n=9), and stem cell transplant in 53% (n=8). High risk cytogenetics [del 17p, t(4;14), t(14;16), t(14;20)] were noted in 4 of the 15 evaluable patients (27%). Median follow up for alive patients was 8.6 months (range 1.1-25.1 months) and the median number of treatment cycles was 2 (range 1-5). Most common reason for treatment discontinuation was PD (40%) followed by adverse events (AEs) (26.7%). Only 1 DLT possibly related to ibr was a grade 3 rash at the 840 mg dose. Grade 3/4 AEs at least possibly related to study treatment included anemia (n=3), thrombocytopenia (n=3), neutropenia (n=3), leucopenia (n=3), lymphopenia (n=2), febrile neutropenia (n=1), and rash (n=2). Overall, the most common all grade AEs included anemia (n=12), thrombocytopenia (n=10), fatigue (n=10), neutropenia (n=8), leucopenia (n=5), and diarrhea (n=5). (Figure 1) No treatment-related deaths were noted. Overall response rate (ORR) was 7% with partial response (PR) noted in 1 patient. Additionally, 1 patient achieved a minor response (MR) and 10 patients had stable disease (SD) for a clinical benefit rate (CBR) of 80%. (Figure 2) PD was noted in 1 patient and 2 patients did not get response assessment. Ibr 840 mg (daily) with R 25 mg (days 1-21) and d 40 mg weekly was considered the MTD of this regimen. The median progression-free survival (PFS) for the 15 evaluable patients was 4.5 months (95% CI: 1.8-not reached). Conclusions: We report the first phase 1 trial of combining a BTK inhibitor with Rd in RRMM patients. MTD of ibr was determined as 840 mg (daily) in combination with R 25 mg (days 1-21) and d 40 mg weekly. This dose of ibr is consistent with some other trials showing the benefit of a higher dose of ibr in various regimens for treatment of B-cell malignancies. We noted this regimen to be well-tolerated without much high-grade AEs. Disease stabilization was noted in majority of patients. These data lay the basis for a larger trial in a more uniform cohort of patients to better define the efficacy of this regimen. Disclosures Ailawadhi: Celgene: Consultancy; Amgen: Consultancy, Research Funding; Pharmacyclics: Research Funding; Cellectar: Research Funding; Janssen: Consultancy, Research Funding; Takeda: Consultancy. Chanan-Khan:AbbVie: Research Funding; Xencor: Research Funding; Pharmacyclics: Research Funding; Merck: Research Funding; Jansen: Research Funding; Mayo Clinic: Employment; Ascentage: Research Funding; Millennium: Research Funding. OffLabel Disclosure: Ibrutinib is not FDA-approved for the treatment of multiple myeloma. The regimen of ibrutinib with lenalidomide and dexamethasone is not FDA-approved for the treatment of multiple myeloma.

Background: With the introduction of the Oncology Care Model, which aims to provide higher quality, more coordinated oncology care at the same or lower cost to Medicare, physician practices are increasingly being held accountable for performance and financial measures.1 Urgent care (emergency room [ER] visits and hospitalizations) is known to contribute a significant proportion of healthcare costs, and while there has been a focus on drug costs, little is known about the utilization or economic impact of urgent care among multiple myeloma (MM) patients. Objective: To identify the primary reasons and economic burden of ER visits and hospitalizations among newly diagnosed MM (NDMM) patients during first line of therapy (LOT1). Methods: Patients from the Optum Clinformatics Extended DataMart - Date of Death database (Optum DOD) with ≥1 medical or pharmacy claim for an NCCN listed MM treatment from 7/1/11 to 3/31/2018 (index date) were included if they had diagnosis code for MM (ICD9/10 code 203/C90) and ≥6-months continuous enrollment without MM treatment prior to index date. Patients were followed until death, end of eligibility, or end of study (9/30/2018), whichever occurred first. The top 20 most common primary diagnoses (PDx) for ER visits and for hospitalizations were identified separately for patients who received stem cell transplant (SCT) or not (nSCT) during LOT1. Total costs and per-patient-per-month (PPPM) costs of ER visits and hospitalizations for each PDx were reported. Results: Total 3,099 patients met inclusion criteria, including 2,761 (89.1%) nSCT and 338 (10.9%) SCT patients. nSCT patients were older than SCT patients (median nSCT=72 years vs SCT=62 years, p < 0.0001). The most common treatment regimens among nSCT were bortezomib in combination with dexamethasone (dex) (34%) followed by lenalidomide in combination with dex (27.4%). The most common treatment regimen among SCT were bortezomib in combination with lenalidomide and dex (46%) followed by bortezomib in combination with chemotherapy (18.3%). Median duration of LOT1 was 5.1 months among all patients, with median 11.2 months among SCT vs 4.5 months among nSCT, p < 0.0001). Among all patients, (Table 1) there was a total of 1,645 ER visits and 3,385 hospitalizations with a total cost of $3,729,208 and $56,751,758, respectively, and a PPPM cost of $146 and $2,220 for ER visits and hospitalizations, respectively. Among nSCT, there were 1,339 (81% of the total) ER visits and 2,776 (82% of the total) hospitalizations with a total cost of $3,063,727 and $39,763,095, respectively, and a PPPM cost of $151 and $1,955 for ER visits and hospitalizations, respectively. Among SCT, there were 306 (19% of the total) ER visits and 609 (18% of the total) hospitalizations, with a total cost of $665,481 and $16,988,663, respectively, and a PPPM cost of $127 and $3,253 for ER visits and hospitalizations, respectively. The most common PDx for hospitalizations among the entire cohort was 'MM, without mention of having achieved remission' with 769 hospitalizations for a total cost of $19,299,593 and a PPPM cost of $7,112. This same PDx was the most common among nSCT with 449 (58%) hospitalizations for a total cost of $7,551,282 and a PPPM cost of $9,292; as well as for SCT with 320 (42%) hospitalizations for a total cost of $11,748,760 and a PPPM cost of $4,435. This was also the most common PDx for ER visits among nSCT and SCT. For hospitalizations, the second most common PDx among the entire cohort and among nSCT was 'shortness of breath' while for SCT it was 'administration of antineoplastic chemotherapy'. The second most common PDx overall and for nSCT for ER visits was 'chest pain' and for SCT patients was 'musculoskeletal dysfunction (Segmental and somatic dysfunction of cervical region)'. Conclusions: In this analysis, NDMM patients experienced frequent ER visits and hospitalizations over a median of ~5 months for a total cost of more than $60 million, with most of the cost among nSCT patients. The most common PDx was related to MM. Even though some hospitalizations for the SCT patients may have been for the SCT procedure itself, the economic burden of urgent care for MM patients remains very high. Additional research to assess the impact of newer treatments on urgent care visits among NDMM, identify patients at high risk of urgent care visits may provide insight into the potential for developing cost-saving interventions to reduce the utilization of urgent care. Disclosures Maiese: Janssen: Employment, Equity Ownership. Zhu:Janssen Scientific Affairs, LLC: Other: contractor for Janssen. Wu:Janssen: Employment, Equity Ownership. Chen:Janssen: Employment, Equity Ownership. Ailawadhi:Janssen: Consultancy, Research Funding; Takeda: Consultancy; Celgene: Consultancy; Cellectar: Research Funding; Amgen: Consultancy, Research Funding; Pharmacyclics: Research Funding.

Background: Chimeric antigen receptor T-cell (CAR-T) therapy has revolutionized the treatment of relapsed/refractory B-cell lymphoid malignancies. Axicabtagene ciloleucel (axi-cel), an anti-CD19 CAR-T not only targets the malignant B-cell, but can potentially also target and eliminate normal B-cells. This can interfere with the normal B-cell repertoire, compromising host humoral immunity such as decreased titers of common vaccines (DTaP, MMR). To assess if this was a clinically significant problem, we evaluated all recipients of axi-cel at our center between 6/2018 through 7/2019. Patients and methods: For patients who received commercial axi-cel, humoral immunity was evaluated both quantitatively [absolute lymphocyte count (ALC)] as well as qualitatively by serology titers [IgG antibodies (Abs)] for diphtheria, tetanus, pertussis, measles, mumps, and rubella, and total Immunoglobulin G (IgG) levels. Data was collected within 30 days prior to CAR-T infusion, then at day +30 and between days +60 and +100 after CAR-T infusion. Results: We identified 10 patients (males = 5, 50%), with a median age of 49.9 years (range 30-65) who received commercial axi-cel during the study period. Patient characteristics and indications for CAR-T therapy are shown in Table 1; the cohort represented a heavily pre-treated aggressive B-cell lymphoma patient population. Baseline information on antibody (Ab) titers was available in 8 patients. At baseline, all patients had positive tetanus IgG Abs (≥0.01 IU/mL), 7 had positive diphtheria IgG Abs (≥0.01 IU/mL), 6 had positive measles IgG Abs (≥ 1.1 AI), 5 had positive rubella IgG Abs (≥ 1.0 AI), 3 had positive mumps IgG Abs (≥ 1.1 AI). None of the patients had a positive pertussis IgG Abs (≥100 IU/mL). At follow-up, all patients with positive Ab at baseline maintained titers in the positive range at day +30 and between days +60 and +100 (Figure 1). None of the patients demonstrated a clinically meaningful decrease in Abs titers, despite a drop in ALC and IgG levels (table 2). Conclusions: Albeit a small sample size, IgG Ab titers for diphtheria, tetanus, measles, mumps, and rubella did not appear to be affected by axi-cel at a short interval follow-up after infusion (up to day +100). We plan to extend this analysis in a larger cohort with a longer-term prospective follow-up to validate our findings, especially in light of dropping absolute lymphocyte counts and IgG levels. Disclosures Ailawadhi: Celgene: Consultancy; Amgen: Consultancy, Research Funding; Cellectar: Research Funding; Janssen: Consultancy, Research Funding; Takeda: Consultancy; Pharmacyclics: Research Funding. Foran:Agios: Honoraria, Research Funding. Tun:Celgene: Research Funding; Curis: Research Funding; TG Therapeutics: Research Funding; Mundi-pharma: Research Funding; DTRM Biopharma: Research Funding; BMS: Research Funding. Chanan-Khan:Pharmacyclics: Research Funding; Merck: Research Funding; Jansen: Research Funding; Mayo Clinic: Employment; Ascentage: Research Funding; Millennium: Research Funding; AbbVie: Research Funding; Xencor: Research Funding. Kharfan-Dabaja:Daiichi Sankyo: Consultancy; Pharmacyclics: Consultancy.

AbstractBackgroundThe Surveillance, Epidemiology, and End Results (SEER) database and National Cancer Database (NCDB) show improved overall survival (OS) in patients with multiple myeloma (MM) over the last 15 years. This analysis evaluated the validity of the largely community‐based Connect MM Registry as a national reference for MM.MethodsBaseline disease characteristics and survival in US newly diagnosed MM patients were examined using the Connect MM Registry as well as SEER and NCDB databases. Baseline characteristics predictive of longer survival in Connect MM were also identified.ResultsAs of February 2017, 3011 patients were enrolled in the Connect MM Registry; 2912 were treated. Median age at time of MM diagnosis and age range were numerically similar from 2010 to 2015 across all 3 registries; SEER had a higher representation of nonwhite racial groups than that in the other 2 registries. OS rates suggest proportionate improvement with year of diagnosis among the 3 registries. A Cox proportional hazards model suggests that younger age (<65 years) is associated with longer survival (vs ≥75; HR, 0.39; 95% confidence interval, 0.34‐0.46) in the Connect MM Registry. However, sex (HR, 0.91; P = .15) and race (black vs white; HR, 0.88; P = .21) were not associated with longer OS.ConclusionsData from the Connect MM Registry appear to be largely representative of national trends, comprehensive, and reliable representations of the national MM population. Baseline characteristics were comparable, and survival similarly improved over time among the 3 registries.ClinicalTrials.gov, identifierNCT01081028.

Aim To compare healthcare resource use and costs between newly diagnosed multiple myeloma (NDMM) patients with and without skeletal-related events (SREs). Methods Adults newly diagnosed with MM (1 January 2006 and 30 June 2017) with at least 12 months continuous health coverage prior to diagnosis were identified using the IBM MarketScan administrative claims. To control for baseline differences, NDMM patients with SREs were propensity score matched to NDMM patients without SREs. Outcomes included annual HRU and costs during follow-up along with number and type of SREs (SRE cohort only). Patients with SREs were stratified by number of SREs, and annual SRE-related costs were reported. Student's t test and Chi-squared test were used to compare outcomes. Results Before matching, the 6648 patients in the SRE cohort had more comorbidities, were more likely to have MM treatment, and had higher pre-index healthcare costs than the 7458 patients in the non-SRE cohort. After matching, cohorts of 3432 patients were well balanced on baseline characteristics. Patients with SREs (vs. without SREs) had significantly higher inpatient, outpatient, and pharmacy HRU. Patients with SREs had significantly higher mean annual all-cause healthcare costs ($213,361 vs. $94,896, p < 0.001) with hospitalization being the leading driver of increased costs (38.7% of total). Among 6648 patients with SREs, the mean annual SRE-related healthcare costs were $39,603, $45,463, and $50,111 for patients with one, two, and three or more events, respectively. Conclusions NDMM patients with SREs have more than twice the all-cause healthcare costs than matched patients without SREs. Costs increase with the number of SRE events.